DocumentCode :
3177593
Title :
Evaluation of a root mean squared based ischemia detector on the long-term ST database with body position change cancellation
Author :
Mincholé, A. ; Skarp, B. ; Jager, F. ; Laguna, P.
Author_Institution :
Comm Techn Group, Zaragoza Univ.
fYear :
2005
fDate :
25-28 Sept. 2005
Firstpage :
853
Lastpage :
856
Abstract :
In this work we revisit an ischemia detector based on the root mean square (RMS) series of the repolarization interval developed and validated using the European Society of cardiology ST-T database (ESCDB). This detector, developed within this database framework, gets sensitivity (S)/positive predictivity (+P) performance figures of 85%/86%. Our aim now is to re-evaluate the detector in the much richer long-term ST database where ST episodes of different origin are present, making a much more challenging scenario for the detector. Just a straight forward adaptation of the RMS detector reduces its performance figures, S/+P, to 70%/68%. This, apart from other reasons, is a consequence of the presence in the database of ST episodes generated by body position changes (BPC) which can be misinterpreted. A BPC detector incorporated to the previous detector noticeably improves the figures up to 75%/71%
Keywords :
bioelectric phenomena; diseases; electrocardiography; estimation theory; medical signal processing; patient diagnosis; series (mathematics); ECG signal; European Society of cardiology ST-T database; body position change cancellation; ischemia detector; long-term ST database; repolarization interval; root mean square series estimation; Cardiology; Databases; Detectors; Electrocardiography; Event detection; Heart rate; Information science; Ischemic pain; Patient monitoring; Root mean square;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology, 2005
Conference_Location :
Lyon
Print_ISBN :
0-7803-9337-6
Type :
conf
DOI :
10.1109/CIC.2005.1588239
Filename :
1588239
Link To Document :
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